Classic vs Generative Models

Classic Models
Classic models typically focus on specific tasks with deterministic outputs, classic models often rely on structured algorithms and fixed rules, such as decision trees or linear regression, to analyze data and make predictions.
Generative Models
Like GPTs, generative models can create new data instances that resemble training data. They learn the underlying distribution of the input data, enabling them to generate text, images or other content that is novel and diverse
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